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Updated: Jul 30, 2025

10:17
The Tail Suspension Test
Published on: January 28, 2012
80.5K
Tales of Tails
Christopher Essex1, Bjarne Andresen2
1Department of Mathematics, Middlesex College, The University of Western Ontario, London, ON N6A 5C1, Canada.
Entropy (Basel, Switzerland)
|May 16, 2023
Summary
For long timescales, fluctuating systems exhibit non-Gaussian distributions, challenging traditional statistical mechanics. These systems lack a global temperature, even with local thermal equilibrium.
Area of Science:
- Thermodynamics
- Statistical Mechanics
- Non-equilibrium Systems
Background:
- Traditional statistical mechanics assumes Gaussian distributions, where extreme events (tails) are negligible for averages.
- Long timescale (slow time) regimes and fluctuating local equilibrium systems deviate from this assumption.
- These systems exhibit non-Gaussian tails, necessitating a re-evaluation of standard thermodynamic concepts.
Purpose of the Study:
- To investigate the implications of non-Gaussian tail behavior in fluctuating local equilibrium systems.
- To explain the observational challenges associated with these tail behaviors.
- To clarify the relationship between time-coarse graining and non-Gaussian distributions.
Main Methods:
- Analysis of fluctuating local equilibrium systems.
- Examination of probability density functions (PDFs) and their convolutions.
- Investigation of the impact of time-coarse graining on distribution tails.
Main Results:
- Fluctuating local equilibrium systems generate non-Gaussian distributions that do not support a global temperature.
- Observational challenges arise from the low probability but significant impact of tail behaviors.
- Time-coarse graining is directly linked to the convolution processes creating non-Gaussian behavior.
- Truncating the tails of the PDF exacerbates non-Gaussian characteristics.
Conclusions:
- Standard statistical mechanics is insufficient for describing long-timescale fluctuating systems.
- The concept of a global temperature is undefined in systems with fluctuating local thermodynamic equilibrium.
- Understanding non-Gaussian tail behavior is crucial for accurately modeling complex thermodynamic systems.
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